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      When a parent dies – a systematic review of the effects of support programs for parentally bereaved children and their caregivers

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          Abstract

          Background

          The death of a parent is a highly stressful life event for bereaved children. Several studies have shown an increased risk of mental ill-health and psychosocial problems among affected children. The aims of this study were to systematically review studies about effective support interventions for parentally bereaved children and to identify gaps in the research.

          Methods

          The review’s inclusion criteria were comparative studies with samples of parentally bereaved children. The focus of these studies were assessments of the effects on children of a bereavement support intervention. The intervention was directed towards children 0–18 years; but it could also target the children’s remaining parent/caregiver. The study included an outcome measure that dealt with effects of the intervention on children. The following electronic databases were searched up to and including November 2015: PubMed, PsycINFO, Cinahl, PILOTS, ProQuest Sociology (Sociological Abstracts and Social Services Abstracts). The included studies were analysed and summarized based on the following categories: type of intervention, reference and grade of evidence, study population, evaluation design, measure, outcome variable and findings as effect size within and between groups.

          Results

          One thousand, seven hundred and-six abstracts were examined. Following the selection process, 17 studies were included. The included studies consisted of 15 randomized controlled studies, while one study employed a quasi-experimental and one study a pre-post-test design. Thirteen studies provided strong evidence with regards to the quality of the studies due to the grade criteria; three studies provided fairly strong evidence and one study provided weaker evidence.

          The included studies were published between 1985 and 2015, with the majority published 2000 onwards. The studies were published within several disciplines such as psychology, social work, medicine and psychiatry, which illustrates that support for bereaved children is relevant for different professions. The interventions were based on various forms of support: group interventions for the children, family interventions, guidance for parents and camp activities for children. In fourteen studies, the interventions were directed at both children and their remaining parents. These studies revealed that when parents are supported, they can demonstrate an enhanced capacity to support their children. In three studies, the interventions were primarily directed at the bereaved children. The results showed positive between group effects both for children and caregivers in several areas, namely large effects for children’s traumatic grief and parent’s feelings of being supported; medium effects for parental warmth, positive parenting, parent’s mental health, grief discussions in the family, and children’s health. There were small effects on several outcomes, for example children’s post-traumatic stress disorder (PTSD) symptoms, anxiety, depression, self-esteem and behaviour problems. There were studies that did not show effects on some measures, namely depression, present grief, and for the subgroup boys on anxiety, depression, internalizing and externalizing.

          Conclusions

          The results indicate that relatively brief interventions can prevent children from developing more severe problems after the loss of a parent, such as traumatic grief and mental health problems. Studies have shown positive effects for both children’s and remaining caregiver’s health. Further research is required including how best to support younger bereaved children. There is also a need for more empirically rigorous effect studies in this area.

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          Most cited references87

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          Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

          Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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            Effect size estimates: current use, calculations, and interpretation.

            The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.
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              Estimating Effect Sizes From Pretest-Posttest-Control Group Designs

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                Author and article information

                Contributors
                ann-sofie.bergman@lnu.se
                ulf.axberg@psy.gu.se
                elizabeth.hanson@anhoriga.se
                Journal
                BMC Palliat Care
                BMC Palliat Care
                BMC Palliative Care
                BioMed Central (London )
                1472-684X
                10 August 2017
                10 August 2017
                2017
                : 16
                : 39
                Affiliations
                [1 ]ISNI 0000 0001 2174 3522, GRID grid.8148.5, Department of Social Work, Swedish Family Care Competence Centre, , Linnaeus University, ; SE-351 95 Vaxjo, Sweden
                [2 ]ISNI 0000 0000 9919 9582, GRID grid.8761.8, Department of psychology, , University of Gothenburg, ; SE-40530 Gothenburg, Sweden
                [3 ]ISNI 0000 0001 2174 3522, GRID grid.8148.5, Swedish Family Care Competence Centre, , Linnaeus University, ; SE-391 82 Kalmar, Sweden
                [4 ]ISNI 0000 0004 1936 9262, GRID grid.11835.3e, , University of Sheffield, ; Sheffield, UK
                Article
                223
                10.1186/s12904-017-0223-y
                5553589
                28797262
                16c0efc9-fdc9-4394-95d0-17fa88cce350
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 December 2016
                : 31 July 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005349, Socialstyrelsen;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Anesthesiology & Pain management
                bereavement,grief,parental death,death,dying,bereavement support,intervention,evaluation

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